Vehicle Adhesion Control via Dynamic Slip Adjustment
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Solution Overview
Problem
Existing wheel slide protection systems in vehicles face challenges in optimizing adhesion between wheels and road surfaces, particularly in varying environmental conditions, leading to inefficient slip control and increased stopping distances during braking in degraded adhesion conditions.
Innovation Solution
A vehicle control system that determines adhesion values based on wheel angular speeds, generates a target slip value, and continuously adjusts torque applied to axles to maximize average adhesion, using an adhesion observer and algorithms like LMS to adapt to real-time changes in adhesion conditions, ensuring optimal slip control and improved traction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional wheel slide protection systems are used, then basic adhesion control is provided, but the systems cannot optimize adhesion in varying environmental conditions, leading to increased stopping distances
Solution Approach 1:
The system dynamically adjusts the target slip value continuously in time based on real-time adhesion observations, transforming the static control parameter into a dynamic one that adapts to changing environmental conditions, thereby resolving the contradiction between reliable adhesion control and adaptability to varying environments
Solution Approach 2:
The system implements a feedback mechanism where adhesion values are continuously observed from wheel angular speeds, processed to determine optimal target slip values, and used to control torque application, creating a closed-loop system that adapts to environmental changes while maintaining reliable adhesion control
Solution Approach 3:
The system changes the control parameter from fixed slip control to variable target slip control, where the target slip value is continuously modified based on processed adhesion values, enabling the system to adapt to different environmental conditions while maintaining effective adhesion control
2Ease of operation
If fixed target slip values are used for slip control, then control simplicity is maintained, but the system cannot maximize average adhesion values in changing adhesion conditions
Solution Approach 1:
The system transforms the static target slip value into a dynamic parameter that is continuously modified in time based on processed adhesion values, allowing the system to maintain simplicity in control structure while achieving adhesion maximization through automatic parameter adaptation
Solution Approach 2:
The system performs self-adjustment by automatically processing adhesion values and modifying target slip values without external intervention, enabling the system to maintain simplicity in operation while achieving optimal adhesion performance through autonomous adaptation
3Reliability
If adhesion values are determined and processed in real-time to generate target slip values, then adhesion optimization is achieved, but computational complexity and processing requirements increase
Solution Approach 1:
The system extracts only the essential adhesion information from wheel angular speeds that is necessary for determining target slip values, processing only the critical data needed for adhesion optimization while filtering out unnecessary computational complexity
Solution Approach 2:
The system focuses computational resources on processing adhesion values for specific wheels and axles where optimization is most needed, applying targeted processing rather than uniform complex processing across all vehicle components, thereby achieving adhesion optimization with reduced overall computational complexity
Data Source
AI summary
A vehicle control system is provided for controlling adhesion of wheels to a route surface. The control system includes one or more processors configured to determine adhesion values representative of adhesion between the wheels of a vehicle and the route surface based on angular speeds of the wheels. The one or more processors are configured to generate a target slip value for the wheels that are coupled with at least two different axles of the vehicle by processing the adhesion values and modifying the target slip value continuously in time to maximize an average value of the adhesion values of the wheels. The one or more processors also are configured to control a torque applied to at least one of the axles based on the target slip value.